About Me

A copy of my CV is available here (last update: 21 Dec 2023)

• Bachelor in Mathematics, Scuola Normale Superiore & University of Pisa

• Master in "Fundamental Mathematics", Sorbonne Université (campus UPMC)

• Ph.D in Algebraic Topology, University of Roma Tor Vergata. Supervisor: Paolo Salvatore

• Post-Doc in Topology, University of Victoria, BC. Supervisor: Ryan Budney.

I have been passionated with Mathematics since I have memory. My passion for problem solving began to take shape in high school, thanks to Mathematics and Informatics Olympiads. In University, my interests soon concentrated on the interplay of geometry and algebra, especially in Algebraic Topology. I was amazed about how algebraic machinery was able to capture deep, elusive properties of geometric structures with elegance. My Ph.D thesis, in this spirit, developed a framework to make (spectral) calculations about the space of all knots. Here, a point represents a knot, and a path represents a manipulation between knots. 

Driven by a desire for a positive social impact, I have started my journey into Topological Data Analysis—the applied counterpart of Algebraic Topology. I discovered that the key elements of my research style—geometric intuition, algebraic tools, and explicit computations—could uncover patterns in complex data. During this exploration, an unexpected connection with neuroscience emerged. Given my long-standing struggle with daily migraines, I was inspired to delve into this direction.

My overarching ambition is to advance diagnostics and treatment selection in areas where biomedical data is particularly complex, such as functional brain scans. I wish to contribute to the amazing and rapidly-growing field bridging Topology, Machine Learning, and Biology, to foster a new generation of biomedical data analysis, and possibly a better quality of life for people suffering psychiatric and neurological disorders.